Digital Commons Network^™

The Power Of The Mind: Exploring The Perceived Benefits Of Spiritual Meditation For Children's Loss And Grief, Shefali Bhalla

Theses and Dissertations (Comprehensive)

Grief and loss can significantly affect children’s emotional, cognitive, and social development, yet many existing interventions remain difficult to access due to stigma, cost, and limited cultural fit. Meditation has shown promise as a low-cost and adaptable strategy for supporting emotional regulation, but little is known about how children themselves perceive its usefulness in grief-related contexts. The present study explored children’s beliefs about the usefulness of spiritual meditation as a coping strategy across grief, interpersonal conflict, and positive emotional vignettes. Fourteen children between the ages of 8 and 13 participated in individual Zoom sessions in which they listened to three …

Trends In The Utilization Of Metaverse Technology In Media Content Production:A Second-Level Study Of The Arab Experience, Amal Nabil Badr, Tarek Ismail Mohamed, Nassereldin Abdel Qadir Osman

Journal of Arts and Social Sciences

The research problem is defined through a main question: How did Arab studies discuss the interactions of the Arab media experience with metaverse technology and supporting tools, the limits and levels of current and future use of this technology in Arab media institutions, and how did the quantitative and qualitative trends in these studies reflect the applied aspect in using metaverse technology and related tools in media content industry? The research relies on the secondary analysis methodology of the results reached by studies that dealt with the analysis of A sample of (30 studies) from 2015 until 2023. The results …

Sustainable – Low-Cost - Upgrade Of Activated Sludge Process For Nitrogen And Phosphorus (N&P) Removal From Wastewater, Abanoub N. Basta

Theses and Dissertations

Many municipal wastewater treatment plants (WWTPs) in developing countries were designed primarily for organic matter and suspended solids removal and therefore face increasing difficulty in meeting modern nitrogen (N) and phosphorus (P) discharge requirements. Conventional biological nutrient removal upgrades commonly require additional reactor volume, recirculation systems, aeration energy, and capital investment. Accordingly, sustainable retrofit strategies that improve nutrient removal within existing treatment footprints are increasingly needed, particularly in water-scarce and land-constrained regions.

This study investigated the integration of water hyacinth (Eichhornia crassipes) into the aeration stage of an activated sludge process as a hybrid nature-based enhancement for nitrogen and phosphorus …

Limosilactobacillus Reuteri Promotes Melatonin Release From Human Intestinal Organoids Via 5′Ectonucleotidase Activity, Micah D Forshee, Erika J Nachman, Esha R Shenoy, Heather A Danhof, Ludwig Ermann Lundberg, Stefan Roos, Robert A Britton

Faculty, Staff and Students Publications

Strains of Limosilactobacillus reuteri have been used to prevent or treat various conditions; however, the mechanisms by which they exert beneficial effects are not completely understood. Infant colic is one example in which L. reuteri DSM 17938 reduces clinical symptoms. While the etiology of colic is unknown, abnormal melatonin levels in infants have been suggested as a possible contributor. L. reuteri DSM 17938 has been shown to produce adenosine from AMP via production of the extracellular enzyme 5′ectonucleotidase (5′NT). Adenosine is a potent signaling molecule that impacts several important aspects of host physiology, including the release of melatonin from the …

When Probiotics Guidelines Differ: A Practical Guide For Clinicians And Researchers, Geoffrey A Preidis, Hania Szajewska, Marla Cunningham, Howard Bauchner, Daniel J Merenstein

Faculty, Staff and Students Publications

Many professional organizations publish clinical practice guidelines for the use of probiotics in gastrointestinal disorders. Generally, no two guidelines align perfectly, and some differ markedly. These discrepancies occur because clinical practice guidelines are not purely mechanical outputs of data synthesis. They are shaped by structured interpretation, value judgments, and predefined thresholds for uncertainty. These elements become particularly visible when effect sizes are small, heterogeneity is high, and outcomes vary in clinical relevance-as is the case with probiotic research. This article examines why discordance among probiotic guidelines is predictable and provides practical guidance for clinicians who must decide among conflicting recommendations …

Steroid Receptor Coactivator 3-Deficient Regulatory T Cells Eradicate Multiple Solid Tumors In Syngeneic Mouse Models, Nuri Sung, Eunsu Kim, Yosef Gilad, Yuri Park, Adam M Dean, Yan Xia, Jianming Xu, Clifford C Dacso, David M Lonard, Sang Jun Han

Faculty, Staff and Students Publications

Steroid receptor coactivator 3 (SRC-3) is highly expressed in regulatory T cells (Tregs) and is important for their immunosuppressive activity. Recently, we demonstrated that disrupting SRC-3 expression in Tregs eliminates triple-negative breast cancer (TNBC) and prostate cancer in syngeneic animal models by generating an anti-tumor immune microenvironment without inducing immune-related adverse events (irAEs). Further analysis of these mice revealed that SRC-3 knockout (KO) Tregs infiltrated breast tumors and facilitated the infiltration of CD8

Adolescent And Young Adult Cancer Survivorship: Supportive Care Needs, Resources, And Barriers, Allison Bryn Koplos

Master's Projects and Capstones

Background: Adolescent and young adult (AYA) cancer survivors experience unique physical, psychosocial, developmental, and healthcare-related challenges that often persist beyond treatment completion. Although survivorship resources have expanded, gaps in supportive care needs persist. This scoping review examined the supportive care needs, survivorship resources, and barriers to accessing supportive care among AYA cancer survivors.

Methods: A scoping review was conducted following the Arksey and O'Malley framework and reported in accordance with the PRISMA-ScR guidelines. Peer-reviewed literature published between 2000 and 2026 was identified through searches in PubMed and Google Scholar. Studies examining supportive care needs, survivorship resources, or supportive care services …

Social Procurement As A Catalyst For Dei In Construction: Some Takeaways For Hrm?, Jennifer Waterhouse, Robyn Keast, Judy Lundy, Martin Loosemore

Research outputs 2022 to 2026

Purpose: Diversity, equity and inclusion (DEI) initiatives aim to foster workplaces where all employees feel valued and can add value. Increasingly, the success of these initiatives is influenced by environments and interactions beyond organisational boundaries, including recent backlash. Despite this, most DEI research remains focused on intra-organisational aspects and human resource management (HRM) activities. The purpose of this paper is to introduce social procurement as a novel and promising framework for advancing DEI in theory and practice through a collaborative, inter-organisational approach that has the potential to overcome institutional barriers and mitigate backlash. Design/methodology/approach: Data were collected through 15 in-depth …

The Impact Of A Play-Based Nature Camp On Self-Regulation In School-Age Children, Margaret Berkemeyer

Doctoral Dissertations

This study is a program evaluation with a mixed-methods design that evaluated the effectiveness of Y Rangers, a summer camp offered by the YMCA of San Francisco, in increasing the self-regulation abilities of school-age children. A total of 18 caregivers completed the quantitative portion of this study that included pre/post-test analyses of self-regulation measures. There were no statistically significant changes between pre and post assessments of self-regulation. A subset of seven caregivers and three Y Rangers counselors participated in interviews, the transcripts of which were analyzed using interpretive phenomenological analysis. Caregivers experienced Y Rangers as a unique opportunity for their …

The Relationship Between Acculturative Stress, Body Dissatisfaction, And Disordered Eating Behavior Among Latina Women In The United States, Emily Lillian Johnson

Doctoral Dissertations

The majority of research on body dissatisfaction and disordered eating behaviors focuses predominantly on the experiences of white women, neglecting the significant impact of acculturative stress on these issues, especially among understudied groups like Latina women. The present study seeks to address the gap in the literature by obtaining data that explores the extent to which acculturative stress, body dissatisfaction, and disordered eating behavior have a relationships. Additionally, it investigates the roles of cultural values and ethnic identification in protecting against body dissatisfaction and disordered eating behavior within this population. To determine whether acculturative stress is predictive of body dissatisfaction …

Beyond Symptoms: Examining Perinatal Mental Health Care Among Black, Indigenous And People Of Color With Polyendocrine Metabolic Ovarian Syndrome, Vinaya Thomas

Electronic Theses and Dissertations

Perinatal mood and anxiety disorders (PMADs) are as a public health concern in the United States. Individuals from minoritized racial/ethnic groups face a significantly elevated risk of maternal morbidity, mortality, mental health disorders, and associated adverse outcomes. Emerging studies also reveal a higher likelihood of experiencing perinatal mental health concerns in individuals with polycystic ovarian syndrome (PCOS), currently known as polyendocrine metabolic ovarian syndrome (PMOS). People who identify as Black, Indigenous, or a person of color (BIPOC) face unique healthcare challenges given the added structural and social burdens. This online survey study aimed to 1) understand the relationship between PMOS …

More Than Just Play: The Impact Of Campus Recreation On Retention In Modern Higher Education, Corbin D. Hedges

Masters Theses and Doctoral Dissertations

Student retention remains a central concern in higher education, particularly as the demographic composition of college populations shifts toward a growing number of contemporary students. While extensive research has examined retention strategies for traditional students, there is a notable gap in understanding how institutional resources, such as Campus Recreation, support contemporary student success. This study explores the impact of Campus Recreation participation on student retention, with a specific focus on contemporary students at the University of Tennessee at Chattanooga. Using a convergent mixed-methods design, this research investigates participation trends, perceived benefits, and barriers to engagement in Campus Recreation programs. Quantitative …

Kindergarten Teachers’ Perceptions Of Instructional Approaches For Teaching Sequencing Concepts: Worksheet, Hands-On, And Beebot-Integrated Lessons, Savannah P. Partin

Electronic Theses and Dissertations

The purpose of this qualitative multiple-case study was to explore kindergarten teachers’ perceptions of three instructional approaches for teaching sequencing concepts: worksheet-based instruction, hands-on manipulative instruction, and BeeBot-integrated instruction. Sequencing is a foundational early literacy skill that supports reading comprehension, story retelling, and understanding the order of events. Although sequencing is commonly taught through traditional instructional methods, limited research has examined how kindergarten teachers perceive the use of educational robotics as a tool for literacy instruction. The study was guided by constructivist theory, sociocultural theory, and developmental systems theory. Participants included six kindergarten teachers from a public elementary school in …

Castor Canadensis Winter 2026, Jedediah Smith Society

Castor Canadensis - Jedediah Smith Society

Newsletter of the Jedediah Smith Society

Smart Medical System Integrating Clinical Workflows For Robust Skin Cancer Detection Across Heterogeneous Pathologies, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Skin cancer is among the most prevalent and life-threatening dermatological diseases worldwide, with melanoma responsible for a substantial proportion of skin cancer–related deaths due to delayed and unreliable diagnosis. Conventional clinical screening based on visual inspection and expert interpretation is inherently subjective and often affected by inter-observer variability, lesion heterogeneity, and imaging artifacts, highlighting the need for accurate and generalizable automated diagnostic systems. This study proposes a novel hybrid deep learning architecture for skin cancer classification that integrates an attention-guided autoencoder with a transformer-inspired global context modeling module, forming a unified and robust representation learning framework. The encoder–decoder structure is …

A Global High-Resolution Comprehensive Heat Indices Dataset From 1950 To 2024, Abdul Malik, Sateesh Masabathini, Mohsin Ahmed Shaikh, Qinqin Kong, Muhammad Usman, Dasari Hari Prasad, Ibrahim Hoteit

All Works

Heatwaves are becoming more intense and frequent as global temperatures rise, affecting vulnerable populations, particularly in low-income communities. Addressing the impacts of heatwaves requires high-resolution data to assess their influence on labour productivity, public health, and climate risk. We introduce the Comprehensive Heat Indices (CHI) dataset, a high-resolution (0.1° × 0.1°) hourly dataset from 1950 to 2024, derived from the ERA5 and ERA5-Land reanalyses. The CHI dataset encompasses thirteen heat stress indices, including wet-bulb temperature, universal thermal climate index, mean radiant temperature, wind chill, and lethal heat stress index (Ls). Thresholds for Ls are empirically linked to mortality, enabling the …

Quantifying Customer Sentiment For Automobile Brand Perception Analysis Using Machine Learning On Twitter, Sujith Samuel Mathew, Kadhim Hayawi, Neethu Venugopal, May El Barachi

All Works

Social networking sites provide a platform for individuals to express their opinions publicly. Brand managers actively use these platforms to gain insights into brand perceptions, as users often share their views on products and services. In this study, we use sentiment analysis to assess customer sentiment towards five leading automobile brands, analyzing text content shared on Twitter(or X). The research models the ’Brand Polarity Score’, which indicates whether customers perceive the brand positively or negatively. This score is further weighted based on the tweet’s influence, characterized by the engagement metrics of the tweet and the author’s follower count. We also …

When Lawyers Attack The Rule Of Law: The Rise Of Autocracy In America, Scott L. Cummings

Hofstra Law Review

No abstract provided.

The Morality Of Legality, Cass R. Sunstein

Hofstra Law Review

The Morality of Legality holds that it is a moral wrong, and essentially taboo, for those who work in the executive branch to act unlawfully, even if high-level officials much want to act unlawfully, even if circumstances clearly call for the action in question, and even if there is a strong public demand for the unlawful action. The Morality of Legality is less innocuous and more directive than it might seem. It is a red light; it is a conversation-stopper; it empowers law and lawyers. Those who are committed to it will not engage in unlawful action even if no …

Legislation Is Hot: Reforming The Troubled Teen Industry In California, Jaclyn Ragusa

Hofstra Law Review

No abstract provided.

Utilizing The Invasive Fruitwood Pyrus Calleryana As Substrate For Mushroom Cultivation, An Experimental Study In Practical Sustainability, Matthew D. Helton

Masters Theses and Doctoral Dissertations

This study evaluated the feasibility of using woodchips from the invasive Pyrus calleryana (Callery pear) as substrate for mushroom cultivation. Pleurotus ostreatus, Hericium erinaceus, and Ganoderma lucidum were grown on a pear wood substrate and on a conventional oak substrate to compare, yield, sensory attributes, and metabolite production. P. ostreatus showed no significant differences in yield or biological efficiency (p > 0.05), only sweetness (p = 0.022) differed significantly. H. erinaceus yield and efficiency were similar (p > 0.05), with greater second-flush yields in oak controls (p = 0.034) but no sensory differences (p > 0.05). G. lucidum performance was comparable across treatments …

Green Waste Biochar And Plant Growth-Promoting Bacteria Enhance Tomato Growth Under Combined Nutrient Deficiency And Salinity Stress, Soumaya Tounsi-Hammami, Munawwar Ali Khan, Mahra Alqemzi, Salama Ali Almehairi, Aneesa Rasheed Anwar

All Works

This study characterized a green-waste-derived biochar from date palms and ghaf trees and investigated its potential as a soil amendment with halotolerant Bacillus spp. to improve tomato seedling quality under dual stress of salinity and nutrient deficiency. Biochar was produced through pyrolysis at 450 °C and then characterized for yield, pH, electrical conductivity, proximate analysis, surface morphology, energy-dispersive X-ray spectroscopy, and heavy-metal content. Its effectiveness was tested both alone and in combination with a Bacillus sp. mix, using a completely randomized design with varying NPK fertilizer levels and saline irrigation. Tomato seedlings were evaluated 45 days after planting for various …

A Deep Learning Ensemble Framework For Multi-Subtype Renal Tumor Classification Using Contrast-Enhanced Ct, Hisham Abdeltawab, Ahmed Alksas, Mohamed Ghazal, Ashraf Khalil, Norah Saleh Alghamdi, Rasha T. Abouelkheir, Ahmed Elmahdy, Mohamed Abou El-Ghar, Sohail Contractor, Ayman El–Baz

All Works

Renal cell carcinoma (RCC) is considered the most aggressive and common form of renal cancer. Therefore, early detection is crucial to ensure appropriate and effective treatment planning. In our study, we propose a novel computer-aided diagnostic (CAD) approach which incorporates a deep learning ensemble to differentiate between five renal tumor subtypes, utilising the modality of contrast-enhanced computed tomography (CE-CT). The addressed renal lesions are malignant tumors (chromophobe RCC (chRCC), papillary RCC (pRCC), and clear cell RCC (ccRCC)) and benign tumors (renal oncocytoma (RO) and angiomyolipoma (AML)). Our study includes 280 patients who underwent renal biopsy, 112 patients were diagnosed with …

Integrating Machine Learning And Explainable Ai For Employee Attrition Prediction In Hr Analytics, Maytha Al-Ali, Majed Alwateer, Shatha Abed Alsaedi, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. Elhosseini

All Works

Employee attrition poses significant challenges to organizations, impacting productivity, morale, and financial stability. Predicting attrition and understanding its underlying drivers are critical for implementing effective retention strategies. In this study, we propose a comprehensive framework that utilizes advanced machine learning techniques to predict employee attrition and job change likelihood. The framework integrates robust preprocessing pipelines, state-of-the-art predictive models, and explainability tools such as SHAP (SHapley Additive exPlanations) to ensure transparency and fairness in HR analytics. By addressing key challenges such as class imbalance, feature selection, and model interpretability, our approach provides actionable insights for proactive talent management. We evaluate the …

Artificial Intelligence (Ai) For Social Innovation In Health Education: Promoting Health Literacy Through Personalized Ai-Driven Learning Tools – A Systematic Review, Dina Mansour Tbaishat, Maha Waleed Elfadel

All Works

Background: Artificial Intelligence (AI) is transforming health education by enabling personalized, adaptive, and scalable approaches that may enhance aspects of health literacy. Despite rapid adoption, comprehensive synthesis of AI tools’ impact on health literacy as social innovation is limited. Understanding these effects guides educators, developers, and policymakers in designing potentially effective, inclusive, and ethical AI interventions. This review examines generative AI models, chatbots, and adaptive learning systems in supporting health literacy globally. Methods: A systematic review was conducted following PRISMA guidelines. Literature was identified primarily through PubMed/Medline, Scopus, and ScienceDirect. Connectedpapers.com was used exclusively as a citation chasing tool, performing …

Radio Frequency Tagging–Enabled Patient Monitoring: Integrating Mobility Tracking With Early Warning Systems For Enhanced Safety, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

All Works

Ensuring patient safety in healthcare environments requires continuous monitoring systems capable of identifying early warning signs of clinical risk. Traditional surveillance methods often fail to capture meaningful patterns in patient movement, limiting their ability to prevent incidents such as falls, prolonged immobility, or unnoticed health deterioration. Radio Frequency Tagging technology has been increasingly adopted for real-time patient tracking; however, existing systems are generally limited to location detection and lack predictive insights into patient behaviour. To overcome these limitations, this study presents a Radio Frequency Tagging-based patient monitoring framework that integrates mobility tracking with an early warning mechanism to enable proactive …

The Association Between Cyber Behaviors And Hedonic And Eudaimonic Well-Being: The Moderating Role Of Personality Traits, Areej Elsayary, Juan Calmaestra, Mercedes Gómez-López

All Works

The increasing integration of digital technologies into everyday life has intensified engagement in various cyber behaviors, raising important questions about their relationship with individuals' well-being. This study examined the associations between online moral disengagement, problematic internet use (compulsive internet use), benign and toxic disinhibition, cyberaggression, and cybervictimization with both hedonic and eudaimonic well-being among emerging adults in the United Arab Emirates. Furthermore, it explores the moderating role of personality traits in these associations. Data were collected from 671 emerging adults (46.8% women) aged 18–29 years (M = 22.56; SD = 3.04). Results showed that cybervictimization and cyberaggression exhibited the strongest …

A Systematic Review Of Audio Deepfake Detection Techniques For Digital Investigation, Mahra Alnaqbi, Richard Adeyemi Ikuesan

All Works

Deepfake technology has been driven by advanced machine learning and revolutionized multimedia creation by synthesizing hyper-realistic content. It includes images, videos, and audio. While its creative applications in entertainment and accessibility are significant, the technology also poses critical risks, especially in fraud, disinformation, and identity theft. Audio deepfakes are a subset of this phenomenon that replicate human voices with enhanced precision, mimicking tone, accent, and subtle vocal nuances. This has raised concerns in security-sensitive domains like voice authentication and forensic investigations. This systematic literature review (SLR) adopts PRISMA guidelines to explore the state-of-the-art in audio deepfake detection. It examines existing …

Understanding Chatbot-Assisted Collaborative Learning Among Female Undergraduate Students, Mohammad Amin Kuhail, Ahmed Shuhaiber, Sinan Salman, Nazik Alturki

All Works

Computer programming can be daunting for beginners due to complex concepts and syntax. Traditional teaching methods, while engaging through gamification and active learning, often lack personalized approaches. Recent advancements in artificial intelligence (AI), particularly large language models (LLMs), present new possibilities for personalized and interactive learning environments. This study introduces a chatbot-assisted collaborative learning environment (CCLE) that leverages an LLM (GPT-4) to enhance collaborative programming education. The CCLE enables real-time guidance and collaboration through natural language interactions, allowing students to work together on programming tasks, edit code collaboratively, and engage with both peers and the educational chatbot. We conducted an …

A Robust Approach For Olive Leaf Disease Detection In Uncontrolled Environments, Rima Grati, Khouloud Boukadi, Emna Ben Abdallah, Ahmed Seffah

All Works

Detecting diseases in olive leaves is crucial for maintaining tree health and ensuring stable olive production. Early signs of infection often appear on the leaves, making them a key indicator for timely disease detection and intervention. Traditionally, farmers rely on visual inspection or laboratory tests to diagnose plant diseases. However, recent advancements in deep learning (DL) have significantly improved the accuracy and efficiency of olive leaf disease diagnosis. Numerous studies in the literature have explored this task using CNN-based architectures and, more recently, Vision Transformers. While these models have shown promising performance on benchmark datasets, they are often trained and …